TensorRT
7.0.0.11
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A resize layer in a network definition. More...
#include <NvInfer.h>
Public Member Functions | |
virtual void | setOutputDimensions (Dims dimensions)=0 |
Set the output dimensions. More... | |
virtual Dims | getOutputDimensions () const =0 |
Get the output dimensions. More... | |
virtual void | setScales (const float *scales, int nbScales)=0 |
Set the resize scales. More... | |
virtual int | getScales (int size, float *scales) const =0 |
Copies resize scales to scales[0, ..., nbScales-1], where nbScales is the number of scales that were set. More... | |
virtual void | setResizeMode (ResizeMode resizeMode)=0 |
Set resize mode for an input tensor. More... | |
virtual ResizeMode | getResizeMode () const =0 |
Get resize mode for an input tensor. More... | |
virtual void | setAlignCorners (bool alignCorners)=0 |
Set whether to align corners while resizing. More... | |
virtual bool | getAlignCorners () const =0 |
True if align corners has been set. More... | |
void | setInput (int index, ITensor &tensor) _TENSORRT_OVERRIDE=0 |
Append or replace an input of this layer with a specific tensor. More... | |
Public Member Functions inherited from nvinfer1::ILayer | |
virtual LayerType | getType () const =0 |
Return the type of a layer. More... | |
virtual void | setName (const char *name)=0 |
Set the name of a layer. More... | |
virtual const char * | getName () const =0 |
Return the name of a layer. More... | |
virtual int | getNbInputs () const =0 |
Get the number of inputs of a layer. | |
virtual ITensor * | getInput (int index) const =0 |
Get the layer input corresponding to the given index. More... | |
virtual int | getNbOutputs () const =0 |
Get the number of outputs of a layer. | |
virtual ITensor * | getOutput (int index) const =0 |
Get the layer output corresponding to the given index. More... | |
virtual void | setPrecision (DataType dataType)=0 |
Set the computational precision of this layer. More... | |
virtual DataType | getPrecision () const =0 |
get the computational precision of this layer More... | |
virtual bool | precisionIsSet () const =0 |
whether the computational precision has been set for this layer More... | |
virtual void | resetPrecision ()=0 |
reset the computational precision for this layer More... | |
virtual void | setOutputType (int index, DataType dataType)=0 |
Set the output type of this layer. More... | |
virtual DataType | getOutputType (int index) const =0 |
get the output type of this layer More... | |
virtual bool | outputTypeIsSet (int index) const =0 |
whether the output type has been set for this layer More... | |
virtual void | resetOutputType (int index)=0 |
reset the output type for this layer More... | |
A resize layer in a network definition.
Resize layer can be used for resizing a ND tensor.
Resize layer currently supports the following configurations:
m
dimensions of ND, where 0 < m <= min(8, N) and N > 0m
dimensions of ND, where 0 < m <= min(3, N) and N > 0Default resize mode is ResizeMode::kNEAREST. Resize layer provides two ways to resize tensor dimensions.
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pure virtual |
True if align corners has been set.
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pure virtual |
Get the output dimensions.
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pure virtual |
Get resize mode for an input tensor.
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pure virtual |
Copies resize scales to scales[0, ..., nbScales-1], where nbScales is the number of scales that were set.
size | The number of scales to get. If size != nbScales, no scales will be copied. |
scales | Pointer to where to copy the scales. Scales will be copied only if size == nbScales and scales != nullptr. |
In case the size is not known consider using size = 0 and scales = nullptr. This method will return the number of resize scales.
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pure virtual |
Set whether to align corners while resizing.
If true, the centers of the 4 corner pixels of both input and output tensors are aligned i.e. preserves the values of corner pixels.
Default: false.
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pure virtual |
Append or replace an input of this layer with a specific tensor.
index | the index of the input to modify. |
tensor | the new input tensor |
Sets the input tensor for the given index. The index must be 0 for a static resize layer. A static resize layer is converted to a dynamic resize layer by calling setInput with an index 1. A dynamic resize layer cannot be converted back to a static resize layer.
For a dynamic resize layer, the values 0 and 1 are valid. The indices in the dynamic case are as follows:
Index | Description 0 | Data or Shape tensor to be resized. 1 | The output dimensions, as a 1D shape tensor.
If this function is called with a value 1, then the function getNbInputs() changes from returning 1 to 2.
Implements nvinfer1::ILayer.
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pure virtual |
Set the output dimensions.
dimensions | The output dimensions. Number of output dimensions must be the same as the number of input dimensions. |
If there is a second input, i.e. resize layer is dynamic, calling setOutputDimensions() is an error and does not update the dimensions.
Output dimensions can be specified directly, or via scale factors relative to input dimensions. Scales for resize can be provided using setScales().
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pure virtual |
Set resize mode for an input tensor.
Supported resize modes are Nearest Neighbor and Linear.
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pure virtual |
Set the resize scales.
scales | An array of resize scales. |
nbScales | Number of scales. Number of scales must be equal to the number of input dimensions. |
If there is a second input, i.e. resize layer is dynamic, calling setScales() is an error and does not update the scales.
Output dimensions are calculated as follows: outputDims[i] = floor(inputDims[i] * scales[i])
Output dimensions can be specified directly, or via scale factors relative to input dimensions. Output dimensions can be provided directly using setOutputDimensions().